Data Engineer

Posted 5 Hours Ago
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Bangalore, Bengaluru, Karnataka
Hybrid
5-7 Years Experience
Cloud • Insurance • Software • Analytics
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.
The Role
As a Senior Data Engineer, you will deliver data engineering solutions, enhance internal processes, create new tooling, and ensure customer success on the Guidewire Data Platform within a collaborative and dynamic team environment.
Summary Generated by Built In

As a Senior Data Engineering specialist in the Guidewire Data and Analytics team, you will work with our customers who are adopting our Guidewire Data Platform as the centerpiece of their data foundation.


One of our principles is to have fun while we deliver, so this role will need to keep the delivery process fun and engaging for the team in collaboration with the broader organization. Given the dynamic nature of the work in the Data and Analytics team, we are looking for decisive, highly-skilled technical problem solvers who are self-motivated and take proactive actions for the benefit of our customers and ensure that they succeed in their journey to Guidewire Cloud Platform. You will collaborate closely with teams located around the world and adhere to our core values Integrity, Collegiality, and Rationality.

Key Responsibilities :

  • Deliver Data Engineering solutions for customers on time and effectively
  • You will work within the broader Guidewire data team to improve our internal processes and methodology
  • You will participate in the creation of new tooling to support and streamline our project outcomes
  • You are a self-motivated problem-solver who takes initiative and always puts customer success first
  • You can adapt and perform at a high level in demanding fast-paced Agile environments
  • Flexibility to work in shifts as needed (to align with AMER/APAC customers and colleagues

Qualifications :

  • Bachelor’s or Master’s Degree in Computer Science, or equivalent level of demonstrable professional competency, and 5 years + in delivery type role
  • Multiple project experience with functional programming concepts
  • At least 2 years of experience with Scala programming language
  • At least 2 years of experience with Apache Spark for big data processing
  • Experience with performance tuning of Data Engineering frameworks for near real time applications
  • Familiarity with designing and deploying CI/CD pipelines
  • Familiarity with data processing and ETL (Extract, Transform, Load) concepts
  • Familiarity working with relational and/or NoSQL databases
  • Familiarity working with different cloud platforms such as AWS or Azure
  • Familiarity developing and deploying production REST APIs
  • Familiarity working with customer teams to understand business objectives and functional requirements
  • Effective leadership, interpersonal, and communication skills

Nice to have :

  • Insurance industry experience.
  • Experience with the Guidewire Data Platform.

Top Skills

Scala
The Company
HQ: San Mateo, CA
3,400 Employees
Hybrid Workplace
Year Founded: 2001

What We Do

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. ​We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 400 insurers, from new ventures to the largest and most complex in the world, run on Guidewire.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record, with 1,000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our marketplace provides hundreds of applications that accelerate integration, localization, and innovation.

Why Work With Us

We're focused on each and every employees' personal and professional development, and offer internal mobility and growth opportunities that make Guidewire unique. Other perks like generous PTO, flex working, and our "Work From Almost Anywhere" program support our employees' work-life balance and happiness!

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